DocumentCode :
37185
Title :
Gide: Graphical Image Deblurring Exploration
Author :
Cash, Brianna R. ; O´Leary, Dianne P.
Volume :
17
Issue :
3
fYear :
2015
fDate :
May-June 2015
Firstpage :
62
Lastpage :
67
Abstract :
A Matlab tool called GIDE allows user-aided deblurring of images. GIDE helps practitioners restore a blurred grayscale image using their knowledge or intuition about the true image. At the same time, it safeguards from possible bias by validating the choice using statistical diagnostics, based on an assumption of Gaussian added noise. GIDE also allows practitioners (or students) to visually explore the range of statistically likely solutions resulting from any of three regularization methods: Tikhonov, truncated SVD, and total variation.
Keywords :
Gaussian noise; image restoration; singular value decomposition; statistical analysis; GIDE; Gaussian added noise; Matlab tool; Tikhonov; blurred grayscale image; graphical image deblurring exploration; regularization methods; statistical diagnostics; total variation; truncated SVD; user-aided image deblurring; Gaussian processes; Image processing; Matlab; Noise measurement; Scientific computing; Statisical analysis; Deblurring; Gaussian noise; graphics; images; scientific computing; statistical noise;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2015.51
Filename :
7091795
Link To Document :
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